Skip to content
/ MDDM Public

Code for Paper "Multi-scale Dynamic Feature Encoding Network for Image Demoireing"

Notifications You must be signed in to change notification settings

opteroncx/MDDM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

2e88ac4 · Jul 29, 2020

History

16 Commits
Oct 24, 2019
Jul 29, 2020
Oct 24, 2019
Oct 24, 2019
Oct 22, 2019
Oct 22, 2019
Oct 22, 2019
Oct 22, 2019

Repository files navigation

Code for "Multi-scale Dynamic Feature Encoding Network for Image Demoireing" [ICCV2019 AIM Workshop][arxiv]

MDDM is the 2nd place winner of AIM Demoireing Challenge-Fidelity

[Update] An enhance version: MDDM+ will be released

Team: MoePhoto Team Members: Xi Cheng, Zhenyong Fu, Jian Yang

Requirement:

  1. GPU>= 11GB Memory (We have tested on RTX2080Ti/Titan V/Tesla P40)
  2. Python 3.6.6
  3. Pytorch==1.2.0
  4. torchvision==0.4.0a0+6b959ee
  5. scikit-image==0.13.1

Test the model:

Put the images in ./data/TestingMoire 
Run  (Fidelity) 
python test_all.py --cuda --model ./models/mddm.pth 
Run  (Perceptual)
python test_all.py --cuda --model ./models/mddmgan.pth

Train:

[WIP]

About

Code for Paper "Multi-scale Dynamic Feature Encoding Network for Image Demoireing"

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages